EnDecon: cell type deconvolution of spatially resolved transcriptomics data via ensemble learning.

MOTIVATION: Spatially resolved gene expression profiles are the key to exploring the cell type spatial distributions and understanding the architecture of tissues. Many spatially resolved transcriptomics (SRT) techniques do not provide single-cell resolutions, but they measure gene expression profiles on captured locations (spots) instead, which are mixtures of potentially heterogeneous cell types. Currently, several cell-type deconvolution methods have been proposed to deconvolute SRT data. Due to the different model strategies of these methods, their deconvolution results also vary. RESULTS: Leveraging the strengths of multiple deconvolution methods, we introduce a new weighted ensemble learning deconvolution method, EnDecon, to predict cell-type compositions on SRT data in this work. EnDecon integrates multiple base deconvolution results using a weighted optimization model to generate a more accurate result. Simulation studies demonstrate that EnDecon outperforms the competing methods and the learned weights assigned to base deconvolution methods have high positive correlations with the performances of these base methods. Applied to real datasets from different spatial techniques, EnDecon identifies multiple cell types on spots, localizes these cell types to specific spatial regions and distinguishes distinct spatial colocalization and enrichment patterns, providing valuable insights into spatial heterogeneity and regionalization of tissues. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/Zhangxf-ccnu/EnDecon. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Multiple myeloma complicated with light chain cast nephropathy with focal amyloidosis: A case report.

This case report describes a rare and interesting case of a patient with multiple myeloma complicated with light chain (LC) cast nephropathy and focal amyloidosis. The patient presented with acute kidney injury, anaemia and bone lesions. The diagnosis was confirmed by bone marrow biopsy, serum and urine electrophoresis and kidney biopsy. The patient was treated with isazomil, pomalidomide and dexamethasone combination chemotherapy, followed by autologous stem cell transplantation. The patient achieved clinical remission, stable renal function and improved serum lambda free LC levels. This case highlights the challenges and advances in the diagnosis and treatment of this condition.

Influences of Early Rehabilitation Nursing on Motor Function, Swallowing Function as Well as Quality of Life in Stroke Patients.

Background: Stroke is a major cause of long-term disability in adults. Routine nursing mainly meets the life needs of patients through the intervention of patients' general life but only provides the most basic services for patients, which makes it difficult to meet the requirements of patients' physical exercise and other aspects, affecting the prognosis. Early rehabilitation after a stroke is important for the recovery of bodily functions in stroke patients. However, the impacts of early rehabilitation nursing on motor function, swallowing function as well as quality of life in stroke patients remain to be further explored. Objective: To investigate the effects of early rehabilitation nursing on motor function, swallowing function as well as quality of life in stroke patients. Design: This was a randomized, single-blind, controlled experiment. Setting: This study was carried out in the neurology department at Xuzhou Central Hospital. Participants: A total of 116 acute stroke patients validated by craniocerebral computed tomography (CT) and magnetic resonance imaging (MRI) from January 2021 to December 2022 were chosen and separated into the control group (n=58) and research group (n=58) following the random number method. Interventions: The control group was given routine nursing. The research group implemented early rehabilitation nursing 24 hours after admission on the basis of the control group. Primary Outcome Measures: (1) recovery of swallowing dysfunction (2) recovery of limb function (3) self-care ability (4) sleep quality (5) quality of life and (6) total satisfaction of patients. Results: The research group had an elevated total effective rate of swallowing dysfunction recovery in contrast to the control group after nursing (P < .05). The recovery of limb function, self-care ability, sleep quality, and quality of life were promoted in both groups, followed by nursing (P < .05), and those in the research group were higher relative to the control group (P < .05). The total satisfaction of patients in the research group presented higher relative to the control group (P < .05). Conclusion: The application effect of early rehabilitation nursing in acute stroke patients is outstanding, and the swallowing dysfunction and limb dysfunction of patients can be effectively improved, which has a high nursing value and is worth promoting and applying. Therefore, an early physical rehabilitation program for acute stroke inpatients should be considered for implementation in clinical settings.

Bisphenol A: Unveiling Its Role in Glioma Progression and Tumor Growth.

Gliomas represent the most common and lethal category of primary brain tumors. Bisphenol A (BPA), a widely recognized endocrine disruptor, has been implicated in the progression of cancer. Despite its established links to various cancers, the association between BPA and glioma progression remains to be clearly defined. This study aimed to shed light on the impact of BPA on glioma cell proliferation and overall tumor progression. Our results demonstrate that BPA significantly accelerates glioma cell proliferation in a time- and dose-dependent manner. Furthermore, BPA has been found to enhance the invasive and migratory capabilities of glioma cells, potentially promoting epithelial-mesenchymal transition (EMT) characteristics within these tumors. Employing bioinformatics approaches, we devised a risk assessment model to gauge the potential glioma hazards associated with BPA exposure. Our comprehensive analysis revealed that BPA not only facilitates glioma invasion and migration but also inhibits apoptotic processes. In summary, our study offers valuable insights into the mechanisms by which BPA may promote tumorigenesis in gliomas, contributing to the understanding of its broader implications in oncology.

Molecular 14 C evidence for contrasting turnover and temperature sensitivity of soil organic matter components.

Climate projection requires an accurate understanding for soil organic carbon (SOC) decomposition and its response to warming. An emergent view considers that environmental constraints rather than chemical structure alone control SOC turnover and its temperature sensitivity (i.e., Q10 ), but direct long-term evidence is lacking. Here, using compound-specific radiocarbon analysis of soil profiles along a 3300-km grassland transect, we provide direct evidence for the rapid turnover of lignin-derived phenols compared with slower-cycling molecular components of SOC (i.e., long-chain lipids and black carbon). Furthermore, in contrast to the slow-cycling components whose turnover is strongly modulated by mineral association and exhibits low Q10 , lignin turnover is mainly regulated by temperature and has a high Q10 . Such contrasts resemble those between fast-cycling (i.e., light) and mineral-associated slow-cycling fractions from globally distributed soils. Collectively, our results suggest that warming may greatly accelerate the decomposition of lignin, especially in soils with relatively weak mineral associations.

Soil organic matter molecular composition with long-term detrital alterations is controlled by site-specific forest properties.

Forest ecosystems are important global soil carbon (C) reservoirs, but their capacity to sequester C is susceptible to climate change factors that alter the quantity and quality of C inputs. To better understand forest soil C responses to altered C inputs, we integrated three molecular composition published data sets of soil organic matter (SOM) and soil microbial communities for mineral soils after 20 years of detrital input and removal treatments in two deciduous forests: Bousson Forest (BF), Harvard Forest (HF), and a coniferous forest: H.J. Andrews Forest (HJA). Soil C turnover times were estimated from radiocarbon measurements and compared with the molecular-level data (based on nuclear magnetic resonance and specific analysis of plant- and microbial-derived compounds) to better understand how ecosystem properties control soil C biogeochemistry and dynamics. Doubled aboveground litter additions did not increase soil C for any of the forests studied likely due to long-term soil priming. The degree of SOM decomposition was higher for bacteria-dominated sites with higher nitrogen (N) availability while lower for the N-poor coniferous forest. Litter exclusions significantly decreased soil C, increased SOM decomposition state, and led to the adaptation of the microbial communities to changes in available substrates. Finally, although aboveground litter determined soil C dynamics and its molecular composition in the coniferous forest (HJA), belowground litter appeared to be more influential in broadleaf deciduous forests (BH and HF). This synthesis demonstrates that inherent ecosystem properties regulate how soil C dynamics change with litter manipulations at the molecular-level. Across the forests studied, 20 years of litter additions did not enhance soil C content, whereas litter reductions negatively impacted soil C concentrations. These results indicate that soil C biogeochemistry at these temperate forests is highly sensitive to changes in litter deposition, which are a product of environmental change drivers.

Research on the relationship between common metabolic syndrome and meteorological factors in Wuhu, a subtropical humid city of China.

As climate conditions deteriorate, human health faces a broader range of threats. This study aimed to determine the risk of death from metabolic syndrome (MetS) due to meteorological factors. We collected daily data from 2014 to 2020 in Wuhu City, including meteorological factors, environmental pollutants and death data of common MetS (hypertension, hyperlipidemia and diabetes), as well as a total number of 15,272 MetS deaths. To examine the relationship between meteorological factors, air pollutants, and MetS mortality, we used a generalized additive model (GAM) combined with a distributed delay nonlinear model (DLNM) for time series analysis. The relationship between the above factors and death outcomes was preliminarily evaluated using Spearman analysis and structural equation modeling (SEM). As per out discovery, diurnal temperature range (DTR) and daily mean temperature (T mean) increased the MetS mortality risk notably. The ultra low DTR raised the MetS mortality risk upon the general people, with the highest RR value of 1.033 (95% CI: 1.002, 1.065) at lag day 14. In addition, T mean was also significantly associated with MetS death. The highest risk of ultra low and ultra high T mean occured on the same day (lag 14), RR values were 1.043 (95% CI: 1.010, 1.077) and 1.032 (95% CI: 1.003, 1.061) respectively. Stratified analysis's result showed lower DTR had a more pronounced effect on women and the elderly, and ultra low and high T mean was a risk factor for MetS mortality in women and men. The elderly need to take extra note of temperature changes, and different levels of T mean will increase the risk of death. In warm seasons, ultra high RH and T mean can increase the mortality rate of MetS patients.

Differential network analysis by simultaneously considering changes in gene interactions and gene expression.

MOTIVATION: Differential network analysis is an important tool to investigate the rewiring of gene interactions under different conditions. Several computational methods have been developed to estimate differential networks from gene expression data, but most of them do not consider that gene network rewiring may be driven by the differential expression of individual genes. New differential network analysis methods that simultaneously take account of the changes in gene interactions and changes in expression levels are needed. RESULTS: : In this article, we propose a differential network analysis method that considers the differential expression of individual genes when identifying differential edges. First, two hypothesis test statistics are used to quantify changes in partial correlations between gene pairs and changes in expression levels for individual genes. Then, an optimization framework is proposed to combine the two test statistics so that the resulting differential network has a hierarchical property, where a differential edge can be considered only if at least one of the two involved genes is differentially expressed. Simulation results indicate that our method outperforms current state-of-the-art methods. We apply our method to identify the differential networks between the luminal A and basal-like subtypes of breast cancer and those between acute myeloid leukemia and normal samples. Hub nodes in the differential networks estimated by our method, including both differentially and nondifferentially expressed genes, have important biological functions. AVAILABILITY AND IMPLEMENTATION: All the datasets underlying this article are publicly available. Processed data and source code can be accessed through the Github repository at https://github.com/Zhangxf-ccnu/chNet. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Ratiometric fluorimetric and colorimetric probe for sensing and imaging pH changes in living cells.

Cell, enzyme, and tissue activity in living organisms are closely related to intracellular pH. Detecting the changes of intracellular pH is important to understanding the physiological and pathological changes in the process of crucial cell metabolism. A pH probe (HTBI) based on hemicyanine was synthesized. The probe solution displayed a marked colour change from yellow to amaranth with the pH increase from neutral to basic; simultaneously, the emission spectra showed a significant red shift. The probe exhibited a ratiometric fluorescence emission (F586nm /F542nm ) characteristic of pKa 8.82. As expected, HTBI exhibited high sensitivity and selectivity for pH, fine photostability, reversibility, and low cytotoxicity. Therefore, it would be a very useful tool for measuring the intracellular pH changes.

Implications of Heparanase on Heparin Synthesis and Metabolism in Mast Cells.

Heparin is a polysaccharide expressed in animal connective tissue-type mast cells. Owing to the special pentasaccharide sequence, heparin specifically binds to antithrombin (AT) and increases the inhibitory activity of AT towards coagulation enzymes. Heparin isolated from porcine intestinal mucosa has an average molecular weight of 15 kDa, while heparins recovered from rat skin and the peritoneal cavity were 60-100 kDa and can be fragmented by the endo-glucuronidase heparanase in vitro. In this study, we have examined heparin isolated from in vitro matured fetal skin mast cells (FSMC) and peritoneal cavity mast cells (PCMC) collected from wildtype (WT), heparanase knockout (Hpa-KO), and heparanase overexpressing (Hpa-tg) mice. The metabolically 35S-labeled heparin products from the mast cells of WT, Hpa-KO, and Hpa-tg mice were compared and analyzed for molecular size and AT-binding activity. The results show that PCMC produced heparins with a size similar to heparin from porcine intestinal mast cells, whilst FSMC produced much longer chains. As expected, heparanase overexpression resulted in the generation of smaller fragments in both cell types, while heparins recovered from heparanase knockout cells were slightly longer than heparin from WT cells. Unexpectedly, we found that heparanase expression affected the production of total glycosaminoglycans (GAGs) and the proportion between heparin and other GAGs but essentially had no effect on heparin catabolism.

Joint reconstruction of multiple gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity.

MOTIVATION: Reconstruction of cancer gene networks from gene expression data is important for understanding the mechanisms underlying human cancer. Due to heterogeneity, the tumor tissue samples for a single cancer type can be divided into multiple distinct subtypes (inter-tumor heterogeneity) and are composed of non-cancerous and cancerous cells (intra-tumor heterogeneity). If tumor heterogeneity is ignored when inferring gene networks, the edges specific to individual cancer subtypes and cell types cannot be characterized. However, most existing network reconstruction methods do not simultaneously take inter-tumor and intra-tumor heterogeneity into account. RESULTS: In this article, we propose a new Gaussian graphical model-based method for jointly estimating multiple cancer gene networks by simultaneously capturing inter-tumor and intra-tumor heterogeneity. Given gene expression data of heterogeneous samples for different cancer subtypes, a non-cancerous network shared across different cancer subtypes and multiple subtype-specific cancerous networks are estimated jointly. Tumor heterogeneity can be revealed by the difference in the estimated networks. The performance of our method is first evaluated using simulated data, and the results indicate that our method outperforms other state-of-the-art methods. We also apply our method to The Cancer Genome Atlas breast cancer data to reconstruct non-cancerous and subtype-specific cancerous gene networks. Hub nodes in the networks estimated by our method perform important biological functions associated with breast cancer development and subtype classification. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/Zhangxf-ccnu/NETI2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Inactive and inefficient: Warming and drought effect on microbial carbon processing in alpine grassland at depth.

Subsoils contain >50% of soil organic carbon (SOC) globally yet remain under-investigated in terms of their response to climate changes. Recent evidence suggests that warmer, drier conditions in alpine grasslands induce divergent responses in SOC decomposition and carbon accrual in top- versus subsoils. However, longer term effects on microbial activity (i.e., catabolic respiration vs. anabolic growth) and belowground carbon cycling are not well understood. Here we utilized a field manipulation experiment on the Qinghai-Tibetan Plateau and conducted a 110-day soil incubation with and without 13 C-labeled grass litter to assess microbes' role as both SOC "decomposers" and "contributors" in the top- (0-10 cm) versus subsoils (30-40 cm) after 5 years of warming and drought treatments. Microbial mineralization of both SOC and added litter was examined in tandem with potential extracellular enzyme activities, while microbial biomass synthesis and necromass accumulation were analyzed using phospholipid fatty acids and amino sugars coupled with 13 C analysis, respectively. We found that warming and, to a lesser extent, drought decreased the ratio of inorganic nitrogen (N) to water-extractable organic carbon in the subsoil, intensifying N limitation at depth. Both SOC and litter mineralization were reduced in the subsoil, which may also be related to N limitation, as evidenced by lower hydrolase activity (especially leucine aminopeptidase) and reduced microbial efficiency (lower biomass synthesis and necromass accumulation relative to respiration). However, none of these effects were observed in the topsoil, suggesting that soil microbes became inactive and inefficient in subsoil but not topsoil environments. Given increasing belowground productivity in this alpine grassland under warming, both elevated root deposits and diminished microbial activity may contribute to new carbon accrual in the subsoil. However, the sustainability of plant growth and persistence of subsoil SOC pools deserve further investigation in the long term, given the aggravated N limitation at depth.

Application of Q-TOF-MS based metabonomics techniques to analyze the plasma metabolic profile changes on rats following death due to acute intoxication of phorate.

Organophosphorus pesticides (OPS) are widely used in the world, and many poisoning cases were caused by them. Phorate intoxication is especially common in China. However, there are currently few methods for discriminating phorate poisoning death from phorate exposure after death and interpretation of false-positive results due to the lack of effective biomarkers. In this study, we investigated the metabonomics of rat plasma at different dose levels of acute phorate intoxication using ultra-performance liquid chromatography quadrupole-time of flight mass spectrometry (UPLC-Q-TOF-MS) analysis. A total of 11 endogenous metabolites were significantly changed in the groups exposed to phorate at LD50 level and three times of LD50 (3LD50) level compared with the control group, which could be potential biomarkers of acute phorate intoxication. Plasma metabonomics analysis showed that diethylthiophosphate (DETP) could be a useful biomarker of acute phorate intoxication. The levels of uric acid, acylcarnitine, succinate, gluconic acid, and phosphatidylcholine (PC) (36:2) were increased, while pyruvate level was decreased in all groups exposed to phorate. The levels of ceramides (Cer) (d 18:0/16:0), palmitic acid, and lysophosphatidylcholine (lysoPC) (18:1) were only changed after 3LD50 dosage. The results of this study indicate that the dose-dependent relationship exists between metabolomic profile change and toxicities associated with apoptosis, fatty acid metabolism disorder, energy metabolism disorder especially tricarboxylic acid (TCA) cycle, as well as liver, kidney, and nervous system functions after acute exposure of phorate. This study shows that metabonomics is a useful tool in identifying biomarkers for the forensic toxicology study of phorate poisoning.

Matrix Metalloproteinase-9 Overexpression Regulates Hippocampal Synaptic Plasticity and Decreases Alcohol Consumption and Preference in Mice.

Brain matrix metalloproteinases (MMPs) have been recently implicated in alcohol addiction; however, the molecular mechanisms remain poorly understood. Matrix metalloproteinase-9 (MMP-9), an extrasynaptic protease, is the best described MMP that is thought to regulate addictive behavior. In the present study, the effect of MMP-9 overexpression on hippocampal neuron plasticity and alcoholic behavior was assessed in spontaneous alcohol drinking mice. Two-bottle choice model showed that the overexpression of MMP-9 in the hippocampus developed by adeno-associated virus (AAV) could decrease alcohol consumption and preference, but did not affect taste preference, which was tested using saccharin or quinine solutions. Dendritic spines number of hippocampal neurons was observed by Golgi staining. Compared with the alcohol treatment group, the density of dendritic spines in the hippocampus of alcohol drinking mice was decreased in alcohol + MMP-9 group. Western blot analysis indicated that GluN1 expression in the hippocampus of alcohol drinking group was lower than that in the control group, while the expression of GluN1 was increased in MMP-9 overexpressing mice. MMP-9 also regulated the depolymerization of actin filaments, which induced behavioral changes in mice. Taken together, overexpression of MMP-9 in the hippocampal neurons of mice resulted in decreased dendritic spine density and F-actin/G-actin ratio, which might be the crucial reason for the significant decrease in alcohol consumption in alcohol drinking mice. MMP-9 might be considered as a novel target studying the molecular mechanism of alcohol drinking.

A dual signal amplification strategy for the highly sensitive fluorescence detection of nucleic acids.

The development of convenient sensing probes and strategies for the highly sensitive and specific detection of biomolecules is greatly significant for the diagnosis of diseases. Herein, a dual signal amplification strategy comprising target-triggered recycling and duplex-specific nuclease (DSN)-mediated amplifications was designed and proposed for a highly sensitive fluorescence assay of nucleic acids. In this strategy, three special hairpin structured single-stranded DNAs (i.e., H1, H2 and H3) were designed, and target-triggered recycling was operated on H1-modified AuNPs (i.e., AuNP-H1 probes) in the presence of target DNA, H2 and H3 to form trefoil DNAs on AuNPs (i.e., AuNP-trefoil). DSN was then incubated with AuNP-trefoil to cleave the double-stranded trefoil DNAs, causing the ROX molecules labelled on H2 and H3 to fall off the AuNPs, which resulted in the recovery of the previous AuNP-quenched fluorescence signal of ROX. The sensing mechanism was confirmed by polyacrylamide gel electrophoresis and fluorescence characterizations, and the sensing strategy was optimized from several aspects, such as the MCH blocking time of the AuNP-H1 probes (20 min) and the concentration (0.3 U) and immobilization time (15 min) of DSN. The practicability of the probes and the dual signal amplification strategy was investigated by a fluorescence assay of target DNA in human serum. A good linear calibration curve from 50 fM to 100 pM was obtained with a low detection limit of 47.68 fM. The sensing strategy showed good specificity, which could efficiently distinguish the target DNA from the single-base mismatched (SM) and completely unmatched (UM) DNAs. The recovery values ranging from 91.85% to 106.3% with the relative standard deviations (RSD) less than 7.30% also illustrated the good reliability of the proposed sensing probes and strategy. The AuNP-H1 probes and dual signal amplification strategy provide highly effective diagnostic agents and method for the analysis of disease-related nucleic acid biomarkers at the molecular level for early disease detection.

Climate warming alters subsoil but not topsoil carbon dynamics in alpine grassland.

Subsoil contains more than half of soil organic carbon (SOC) globally and is conventionally assumed to be relatively unresponsive to warming compared to the topsoil. Here, we show substantial changes in carbon allocation and dynamics of the subsoil but not topsoil in the Qinghai-Tibetan alpine grasslands over 5 years of warming. Specifically, warming enhanced the accumulation of newly synthesized (14 C-enriched) carbon in the subsoil slow-cycling pool (silt-clay fraction) but promoted the decomposition of plant-derived lignin in the fast-cycling pool (macroaggregates). These changes mirrored an accumulation of lipids and sugars at the expense of lignin in the warmed bulk subsoil, likely associated with shortened soil freezing period and a deepening root system. As warming is accompanied by deepening roots in a wide range of ecosystems, root-driven accrual of slow-cycling pool may represent an important and overlooked mechanism for a potential long-term carbon sink at depth. Moreover, given the contrasting sensitivity of SOC dynamics at varied depths, warming studies focusing only on surface soils may vastly misrepresent shifts in ecosystem carbon storage under climate change.

A field amplification enhanced paper-based analytical device with a robust chemiluminescence detection module.

A sensitive detection method combined with an effective on-line concentration may improve the analytical performance of a paper-based analytical device (PAD), and its merits of low cost and portability in POCT are fully demonstrated. Here, a sensitive PAD system with chemiluminescence (CL) detection and electrokinetic preconcentration was introduced, and the performance was demonstrated by the detection of hemin. A commercially available low cost and miniaturized optical detection module was used for the CL detection. Firstly, hemin was stacked on a simple paper fluidic channel based on field amplified stacking (FAS), and then a CL reagent (luminol-H2O2) was loaded on the stacked band to initiate the CL reaction. The photons were directly detected using the detection module. With optimization of the background electrolyte (BGE), voltage and CL reagent, a limit of detection (LOD) of 0.58 nM for hemin was obtained with a linear range of 1-1000 nM (R2 = 0.995). With FAS, the signal intensity was about 13-fold enhanced. This PAD also exhibited satisfactory selectivity over possible interfering components at a 104 times higher concentration. The applicability of the PAD was demonstrated by the detection of hemin from iron supplements and human serum samples. With total manual operation, recovery rates of 84.8-115.6% were obtained with an RSD of less than 14.3%. With the introduction of the optical detection model, and together with FAS, both the LOD and dynamic range of this PAD were effectively improved.

Autocrine CCL5 promotes tumor progression in esophageal squamous cell carcinoma in vitro.

The pro-tumoral effects of CCL5 have been identified in numerous cancer types. We successfully cultivated 4 esophageal squamous cell carcinoma (ESCC) cell lines, including TWES-1, TWES-3 and a pair of cell lines derived from primary lesion (TWES-4PT) and metastatic lymph node (TWES-4LN) of the same patient. Whole genome screening showed that TWES-4LN expressed higher levels of CCL5 compared to that of TWES-4PT; quantification of protein secretion displayed comparable results, suggesting that CCL5 could be associated with lymph node metastasis in ESCC. CCL5 knockdown by siRNA significantly reduced basal growth rate, tumor migration and invasiveness in the paired cell lines; whereas this treatment induced cell apoptosis in TWES-1 and TWES-3. CCR5 antagonist maraviroc significantly inhibited tumor migration and invasion in the paired cell lines without affecting tumor growth. Collectively, these results suggest that CCL5 autocrine loop may promote ESCC progression; targeting the CCL5/CCR5 axis could be a potential therapeutic strategy for this deadly disease.

Pharmacokinetics of meperidine (pethidine) in rabbit oral fluid: correlation with plasma concentrations after controlled administration.

Oral fluid assays for quantifying drugs are useful in forensic toxicology and drug monitoring. Compared with blood and urine specimens, oral fluid collection is simple, non-invasive, and more difficult to adulterate. Therefore, we investigated whether meperidine and its metabolites could be detected in oral fluid and whether there was a predictable relationship between oral fluid and plasma concentrations. Male New Zealand white rabbits (n = 10) were administered meperidine hydrochloride (20 mg/kg, intravenous). Then, plasma and oral fluid were collected at various time points up to 10 h after administration. We developed a simple and sensitive gas chromatography-mass spectrometry method for the determination of meperidine and normeperidine in oral fluid and plasma. We estimated the apparent pharmacokinetic parameters for meperidine in oral fluid and plasma and determined the ratio and correlation between oral fluid and plasma concentrations. The results demonstrate that this method has excellent specificity, linearity, precision, and recovery. Meperidine and normeperidine were detected in both body fluids; meperidine was the most abundant analyte in oral fluid. The oral fluid-to-plasma drug concentration ratios did not differ significantly over time (p > 0.05). In addition, oral fluid and plasma levels of meperidine and normeperidine were significantly correlated over time (r = 0.713 and 0.725, respectively; p < 0.05). These results provide context for interpreting meperidine and metabolite concentrations in oral fluid and support the utility of oral fluid as an alternative matrix in clinical and forensic testing.

The effect of sodium fluoride, formaldehyde, and storage temperature on the stability of methamidophos in post-mortem blood and liver.

Poisoning by organophosphorus insecticides such as methamidophos makes up a significant portion of forensic identification cases in China. Stability of methamidophos during specimen storage remains largely unknown. This study aimed to examine the long-term stability of methamidophos in postmortem specimens. Three experimental dogs after oral administration of methamidophos were sacrificed, and blood and liver specimens were collected and stored at various conditions. Gas chromatography-mass spectrometry (GC/MS) was used to measure the methamidophos concentrations after 0, 4, 7, 12, 16, 60, and 180 days of storage. The results showed that methamidophos was not stable and followed first-order degradation kinetics at all storage conditions investigated. The degradation half-life in blood was 12.2, 16.9, 11.0, and 1.0 days when the samples were stored at room temperature (RT, 20 °C), 4 °C, -20 °C, and at RT with 1 % sodium fluoride (NaF), respectively. The degradation half-life in liver was 4.1, 9.8, 17.8, and 2.0 days when the samples were stored at RT, 4 °C, -20 °C, and at RT with liver fixed in 10 % formaldehyde solution, respectively. These findings are significant in guiding sample storage and data interpretation. Specimens containing methamidophos should be stored at -20 °C and analyzed as early as possible. Addition of NaF in blood and fixation of liver in formaldehyde should be avoided due to the accelerated degradation of methamidophos under these conditions. The preliminary study suggests that it might be possible to calculate methamidophos concentration at the time of death based on its first-order degradation kinetic under specific storage conditions.